EAGER: Coded Caching for Heterogeneous and Energy Harvesting Systems

EAGER：异构和能量收集系统的编码缓存

• 批准号: 2105872
• 负责人: Aylin Yener
• 金额: $ 19.28万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-12-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2105872&HistoricalAwards=false
• 关键词: EAGER; Coded; Caching; Heterogeneous; Energy

Demand for content with high data rate requirements has reached unprecedented levels. Services like video on-demand, once thought impossible to deliver through resource constrained wireless channels, will become the norm rather than the exception in the near future. Next generation designs thus need to utilize new resources to satisfy user demands. Coded caching is a promising paradigm in this direction in that it offers local data storage as a means to alleviate network congestion. This project aims to make significant progress in bridging the gap between theory and practice of coded caching by addressing the heterogeneity in the data storage capacities of the nodes. This project also puts forward a new content delivery network architecture envisioned to include energy harvesting nodes whose heterogeneous energy availability needs to be explicitly taken into account in designing caching strategies.The project involves optimizing caching placement and delivery strategies for networks with heterogeneous cache sizes. Building on these strategies, the project will also pursue the research direction where energy sustainability is improved by capitalizing caching in energy harvesting communication networks. The research will utilize information theory, communication theory and optimization as tools and is envisioned to be of fundamental nature. The broader impact of the project includes informing the design of next generation content delivery networks, as well as contributing to the vision of new network architectures with energy harvesting nodes introduced to content delivery networks. The educational broader impact includes dissemination through invited lectures, tutorials, and publications, as well as integration of research results into the graduate curriculum.

对具有高数据速率要求的内容的需求达到了前所未有的水平。像视频点播这样的服务，曾经被认为不可能通过资源受限的无线通道提供，但在不久的将来将成为常态，而不是例外。因此，下一代设计需要利用新的资源来满足用户需求。编码缓存是这个方向的一个很有前途的范例，因为它提供本地数据存储作为缓解网络拥塞的一种手段。该项目旨在通过解决节点数据存储容量的异构性，在弥合编码缓存理论和实践之间的差距方面取得重大进展。该项目还提出了一种新的内容分发网络体系结构，在设计缓存策略时需要明确考虑能量采集节点的异质能量可用性，该项目涉及针对具有不同缓存大小的网络优化缓存放置和分发策略。在这些战略的基础上，该项目还将追求通过利用能源收集通信网络中的缓存来提高能源可持续性的研究方向。这项研究将利用信息论、传播学和最优化作为工具，预计将具有根本性。该项目的更广泛影响包括为下一代内容交付网络的设计提供信息，以及为将能量收集节点引入内容交付网络的新网络架构的愿景做出贡献。更广泛的教育影响包括通过特邀讲座、教程和出版物进行传播，以及将研究成果纳入研究生课程。

项目成果

Coded Caching in the Presence of a Wire and a Cache Tapping Adversary of Type II

• DOI: 10.1109/jsait.2021.3054663
• 发表时间: 2021-03
• 期刊: IEEE Journal on Selected Areas in Information Theory
• 作者: Mohamed S. Nafea;A. Yener

Learning to Transmit Fresh Information in Energy Harvesting Networks

• DOI: 10.1109/tgcn.2022.3190007
• 发表时间: 2022-12
• 期刊: IEEE Transactions on Green Communications and Networking
• 影响因子: 4.8
• 作者: Shiyang Leng;A. Yener

Energy-Harvesting Distributed Machine Learning

• DOI: 10.1109/isit45174.2021.9518045
• 发表时间: 2021-02
• 期刊: 2021 IEEE International Symposium on Information Theory (ISIT)
• 作者: Basak Guler;A. Yener

Benefits of Edge Caching With Coded Placement for Asymmetric Networks and Shared Caches

具有非对称网络和共享缓存编码布局的边缘缓存的优势

• DOI: 10.1109/jsait.2021.3127435
• 发表时间: 2021
• 期刊: IEEE Journal on Selected Areas in Information Theory
• 作者: Ibrahim, Abdelrahman M.;Zewail, Ahmed A.;Yener, Aylin
• 通讯作者: Yener, Aylin